IEC TR 63222-101:2025
(Main)Power quality management - Part 101: Power quality data application
Power quality management - Part 101: Power quality data application
IEC TR 63222-101:2025 aims to provide guidelines for power quality data applications on different aspects in public power supply systems at voltage ranges from LV, MV and HV with 50 Hz or 60 Hz rated frequency. It intends to provide a methodology for mining hidden knowledge and support power quality management based on PQ data analytics. Its primary goal is to serve different aspects of power system to promote the system maintaining its normal state and improve efficiency. It can also help avoid unexpected system events, equipment malfunction/maloperation, and production process interruption. The various methodologies and methods mentioned in this document are optional.
General Information
Standards Content (Sample)
IEC TR 63222-101 ®
Edition 1.0 2025-07
TECHNICAL
REPORT
Power quality management -
Part 101: Power quality data application
ICS 17.220.99; 29.020 ISBN 978-2-8327-0578-0
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CONTENTS
FOREWORD . 4
INTRODUCTION . 6
1 Scope . 7
2 Normative references . 7
3 Terms and definitions . 7
3.1 Terms and definitions. 7
3.2 Abbreviated symbols . 8
4 Understanding power quality data . 9
4.1 General . 9
4.2 For continuous power quality phenomenon . 9
4.2.1 General . 9
4.2.2 Equivalent thermal effect but covering up the cause of possible
overload . 10
4.2.3 Aggregation covering up the inducement for event of circuit tripping . 10
4.2.4 Comparison of different aggregation methods . 11
4.2.5 Impacts of sampling rules for aggregation . 11
4.3 For discontinuous PQ phenomenon . 13
4.3.1 General . 13
4.3.2 Detailed event description . 13
4.3.3 Aggregation for event . 13
4.3.4 Critical current information with corresponding event . 13
5 Methodology for power quality data application. 14
5.1 General . 14
5.2 Data pre-processing . 14
5.2.1 General . 14
5.2.2 Missing power quality data filling . 14
5.2.3 Abnormal power quality data identification . 15
5.3 Mechanism method . 16
5.4 Non-mechanism method . 16
6 Application on system economical operation . 16
6.1 General . 16
6.2 Approach . 16
6.2.1 Analysis of additional loss of transformer . 16
6.2.2 Analysis of additional loss of lines . 19
6.3 Case . 20
6.3.1 Overview . 20
6.3.2 Background . 20
6.3.3 Measured harmonic data . 21
7 Application on potential risk early warning . 24
7.1 General . 24
7.2 Approach . 24
7.2.1 Transformer overheating early warning . 24
7.2.2 Capacitor fault early warning . 26
7.2.3 Subsynchronous resonance early warning . 27
7.3 Case . 31
8 Application on management and consultation service . 33
8.1 General . 33
8.2 Approach . 33
8.2.1 Voltage dip source identification . 33
8.2.2 Voltage dip source location . 37
8.2.3 Harmonic contribution determination . 40
8.2.4 Daily/weekly/yearly distribution demonstration . 46
8.3 Case . 51
8.3.1 Harmonic contribution determination . 51
8.3.2 Voltage dip source identification . 57
Bibliography . 60
Figure 1 – Characteristics of original disturbance variation . 10
Figure 2 – Resultant aggregation data . 10
Figure 3 – Cycle-by-cycle and IEC 61000-4-30 aggregation THD . 11
Figure 4 – Resultant aggregation data for different sampling rules . 12
Figure 5 – An example showing information of a single event . 13
Figure 6 – Point on wave of the event with the corresponding current . 14
Figure 7 – Flowchart of missing power quality data filling . 15
Figure 8 – Flowchart of abnormal power quality data identification . 15
Figure 9 – Single line schematic diagram for testing wiring . 20
Figure 10 – Spot welding machine . 21
Figure 11 – Equivalent circuit of spot welding machine system . 21
Figure 12 – Average harmonic voltage ratio of 0,4 kV busbar. 22
Figure 13 – 95 % probability maximum value of harmonic voltage of 0,4 kV busbar . 22
Figure 14 – Average harmonic current of 0,4 kV incoming line . 23
Figure 15 – 95 % probability value of each harmonic current of 0,4 kV incoming line . 23
Figure 16 – The technical flowchart for subsynchronous resonance analysis and early
warning . 28
Figure 17 – Network impedance with a series resonance near 46 Hz . 29
Figure 18 – Network impedance with a distant resonance near 36 Hz . 29
Figure 19 – Distance resonances dominated by resistance – an example case with
negative reactance dip . 30
Figure 20 – Minimum and maximum impedances for impedance dip calculation . 31
Figure 21 – IEEE 12-bus test system . 32
Figure 22 – Distant Resonances – 12 bus system . 33
Figure 23 – Block diagram of voltage dip sources identification. 34
Figure 24 – The lowest amplitude frequency . 36
Figure 25 – Modelling procedure of KFCM-SVM . 37
Figure 26 – Equivalent circuit for dip source location . 38
Figure 27 – Distribution of suspected fault points . 40
Figure 28 – Distribution system configuration for harmonic contribution determination
at PCC . 41
Figure 29 – Current source equivalent circuit for harmonic analysis . 41
Figure 30 – Impedance measurement methods . 42
Figure 31 – Voltage and current during a disturbance . 43
Figure 32 – Transient waveforms and frequency contents . 43
Figure 33 – Harmonic voltage and current at the PCC when K = 0,5, K =10 . 52
1 2
Figure 34 – Fundamental voltage and current at the PCC . 54
Figure 35 – Estimation of harmonic impedance Z . 55
u
Figure 36 – Polar diagrams of the distributions of 3rd background harmonic voltage . 56
th
Figure 37 – Polar diagrams of the distributions of the 11 background harmonic
voltage . 56
th
Figure 38 – Polar diagrams of the distributions of the 13 background harmonic
voltage . 56
Figure 39 – Variation curve of V . 57
XB
Figure 40 – 2 Distribution of feature samples in three-dimension space . 58
Figure 41 – Typical waveforms of five categories . 59
Table 1 – Comparison of different aggregation methods .
...
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